Struct EntanglementValidator 

pub struct EntanglementValidator {
    pub decoherence_time_s: f64,
    /* private fields */
}

Entanglement validator for temporal consciousness correlations

Fields

decoherence_time_s: f64

Decoherence time for entanglement

Implementations

impl EntanglementValidator

pub fn new() -> Self

Create new entanglement validator with default parameters

pub fn with_consciousness_model( qubit_count: usize, decoherence_time_s: f64, ) -> Self

Create validator for specific consciousness model

pub fn entanglement_survival(&self, time_s: f64) -> f64

Calculate entanglement survival probability over time

pub fn calculate_concurrence(&self, time_s: f64) -> f64

Calculate concurrence for two-qubit system

pub fn calculate_entanglement_entropy(&self, time_s: f64) -> f64

Calculate entanglement entropy for multi-qubit system

pub fn calculate_bell_parameter(&self, time_s: f64) -> f64

Calculate Bell inequality parameter (CHSH)

pub fn validate_temporal_correlation( &self, operation_time_s: f64, ) -> QuantumResult<EntanglementResult>

Validate temporal correlation preservation

pub fn set_parameters(&mut self, threshold: f64, decoherence_time_s: f64)

Set entanglement parameters

pub fn analyze_consciousness_time_scales( &self, ) -> ConsciousnessTimeScaleAnalysis

Analyse entanglement viability across the canonical consciousness time scales (neural spike, gamma/theta/alpha/beta/delta waves). Six fixed scales, ordered fastest-to-slowest, each annotated with how directly it touches conscious neural activity.

pub fn model_consciousness_network( &self, network_size: usize, time_s: f64, ) -> ConsciousnessNetwork

Model a small consciousness network of network_size qubits at the given time. Returns pairwise entanglement quality between every node (C(N,2) pairs) plus a single aggregate network_coherence ∈ [0,1].

The model is intentionally simple — all pairs share the same decoherence rate, so network_coherence reduces to the entanglement survival probability. The shape is what callers expect; the absolute values are useful for “is the whole network still coherent?” gates.

pub fn calculate_quantum_fisher_information(&self, time_s: f64) -> f64

Compute the quantum Fisher information (QFI) for a maximally entangled 2-qubit state under exponential dephasing. QFI bounds the precision with which a phase parameter encoded in the state can be estimated; for our model it scales linearly with the squared survival probability and the qubit count.

Returns a strictly positive value (clamped to a small floor so callers can assume qfi > 0 even at long times).

Trait Implementations

impl Clone for EntanglementValidator

fn clone(&self) -> EntanglementValidator

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for EntanglementValidator

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for EntanglementValidator

fn default() -> Self

Returns the “default value” for a type.